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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">080408</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2010.08(4).634
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Analysis of Health Care Coverage through Transition Matrices Using a One Factor Model</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Olson</surname>
            <given-names>Eric D.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">University of Alabama at Tuscaloosa</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Anderson</surname>
            <given-names>Billie S.</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">SAS Institute</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Hardin</surname>
            <given-names>J. Michael</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">1University of Alabama at Tuscaloosa</aff>
      </contrib-group>
      <volume>8</volume>
      <issue>4</issue>
      <fpage>619</fpage>
      <lpage>630</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: This paper studies the affect the tax environment has on health care coverage of individuals. This study adds to the current literature of health care policy by examining how individuals switch types of health care coverage given a change in the tax environment. The distribution of health care coverage will be investigated using transition matrices. Then, a model is used to determine how the individuals might be expected to switch insurance types given a change in the tax environment. Based on the results of this study, the authors give some recommendations on what the implications of the results may mean to health care policy makers.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>One-factor model</kwd>
        <kwd>tax policy</kwd>
        <kwd>transition matrices</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
